A tracking device for machine vision-based blasting fragmentation recognition

Abstract

This invention discloses a machine vision-based tracking device for identifying the size of blasted blocks. This device aims to solve the problem that existing 3D laser scanner cameras with machine vision are exposed to the elements, leading to dust accumulation inside and affecting recognition accuracy and lifespan. The device includes a housing and a recognition lens. A mounting groove is formed in the center of the housing, and a rotating shaft is rotatably mounted inside the mounting groove. The recognition lens is mounted on the rotating shaft. Mounting rings are rotatably connected to the inner walls of both sides of the mounting groove. Side plates are fixedly connected to the front of the mounting rings, and protective plates are fixedly connected to the front of the side plates. When not in use, the protective plates are inserted into a sealing groove at the bottom of the mounting groove, thereby sealing the mounting groove and protecting the internal recognition lens. This not only prevents the recognition lens from being exposed to wind and sun but also prevents dust from entering, improving recognition accuracy and lifespan.

Description

Technical Field

[0001] This utility model belongs to the field of explosive block size recognition technology, specifically relating to a tracking device for explosive block size recognition based on machine vision. Background Technology

[0002] The complex environment of blast piles formed by large-scale blasting makes it difficult to accurately and comprehensively acquire rock block images. Furthermore, the varying surface textures of rocks under uneven open-air lighting significantly impact the quality of blast pile image acquisition, thus increasing the difficulty of image recognition. Block size recognition is a crucial aspect of blasting effect evaluation. Rapid block size recognition and feedback provide fundamental data for rationally adjusting blasting technical parameters and optimizing blasting effects. Therefore, in recent years, the application of 3D laser scanners with machine vision for processing and recognizing blast pile rock block images has become an important development direction in the study of blasting block size distribution. Based on point cloud density clustering algorithms, it can identify clusters of arbitrary shapes and remove noise points, effectively handling the problem of non-uniform density clusters in blast pile point cloud data. This results in higher recognition accuracy and enables rapid tracking and recognition of blasting block size, providing a new method for blasting block size recognition. This has significant practical implications for rapidly evaluating the effect of a blast, providing feedback on blasting parameters, accelerating production efficiency, and improving economic benefits.

[0003] Existing 3D laser scanner cameras with machine vision are generally exposed. Due to the harsh blasting environment and high dust levels, they are often not used for extended periods, leading to a buildup of dust inside. This can easily cause components to malfunction and be damaged during use, affecting not only recognition accuracy but also reducing lifespan. Utility Model Content

[0004] (1) Technical problems to be solved

[0005] In view of the shortcomings of the existing technology, the purpose of this utility model is to provide a tracking device for explosive block size recognition based on machine vision. This device aims to solve the problem that the existing 3D laser scanner camera with machine vision is exposed to the outside, and the inside is prone to accumulating a lot of dust, which not only affects the recognition accuracy, but also reduces the service life.

[0006] (2) Technical solution

[0007] To address the aforementioned technical problems, this utility model provides a machine vision-based tracking device for identifying the size of blasted blocks. The device includes a housing and a recognition lens. A mounting groove is formed in the center of the housing, and a rotating shaft is rotatably mounted inside the mounting groove. The recognition lens is mounted on the rotating shaft. Mounting rings are rotatably connected to the inner walls of both sides of the mounting groove. A side plate is fixedly connected to the front of the mounting ring, and a protective plate is fixedly connected to the front of the side plate. The protective plate is used to seal the mounting groove. Electric push rods are fixedly connected to the inner sides of both sides of the mounting groove. A rack is fixedly connected to the telescopic end of the electric push rod, and the rack meshes with the mounting ring.

[0008] Preferably, a control button is installed on the upper surface of the housing, and both the control button and the electric push rod are electrically connected to the controller inside the recognition lens.

[0009] Furthermore, a base is fixedly connected to the lower surface of the outer casing, and a mounting plate is fixedly connected to the lower surface of the base.

[0010] Furthermore, the outer surface of the mounting ring is provided with toothed grooves, and the mounting ring is coaxially arranged with the rotating shaft.

[0011] Furthermore, the inner top wall and protective plate of the mounting groove are both arc-shaped structures, and a sealing groove is provided on the inner bottom wall of the mounting groove.

[0012] Furthermore, the side plate contacts the inner wall of the mounting groove, the inner top wall of the mounting groove is fixedly connected with a first sealing gasket, and the inner wall of the sealing groove is fixedly connected with a second sealing gasket.

[0013] Furthermore, a motor is fixedly connected inside the right side of the housing, and a worm gear is fixedly connected to the output end of the motor. The rotating shaft is located inside the housing and is fixedly connected to a worm wheel, with the worm gear and worm wheel meshing together.

[0014] (3) Beneficial effects

[0015] Compared with the prior art, the beneficial effects of this utility model are as follows:

[0016] 1. By setting a first sealing gasket and a second sealing gasket, when the electric push rod drives the rack to retract, the protective plate will be inserted into the sealing groove at the bottom of the mounting groove, thereby sealing the mounting groove through the protective plate, and improving the sealing performance through the first sealing gasket and the second sealing gasket, thus better preventing dust from entering.

[0017] 2. This utility model installs a machine vision recognition lens inside the housing. When in use, the protective plate rotates around the mounting ring to the upper side, exposing the recognition lens in the mounting groove, enabling it to identify and track explosive blocks. When not in use, the protective plate is inserted into the sealing groove at the bottom of the mounting groove, thereby sealing the mounting groove and protecting the internal recognition lens. This not only prevents the recognition lens from being exposed to wind and sun, but also prevents dust from entering, improving recognition accuracy and service life. Attached Figure Description

[0018] Figure 1 This is a three-dimensional structural diagram of the present invention.

[0019] Figure 2 This is a schematic diagram of the right-side cross-sectional structure of this utility model.

[0020] Figure 3 This is a schematic diagram of the internal structure of the outer shell of this utility model.

[0021] Figure 4 This is a schematic diagram of the structure of the protective plate of this utility model.

[0022] Figure 5 This is a schematic diagram of the structure for protecting the recognition lens according to this utility model.

[0023] The markings in the attached diagram are as follows: 1. Housing; 2. Recognition lens; 3. Mounting groove; 4. Rotating shaft; 5. Mounting ring; 6. Side plate; 7. Protective plate; 8. Electric push rod; 9. Rack; 10. Sealing groove; 11. First sealing gasket; 12. Second sealing gasket; 101. Control button; 102. Base; 103. Mounting plate; 13. Motor; 14. Worm gear; 15. Worm wheel. Detailed Implementation

[0024] This specific embodiment is a tracking device based on machine vision for identifying the size of blasted blocks, and its structural schematic diagram is shown below. Figures 1-5 As shown, the device includes a housing 1 and a recognition lens 2. A mounting groove 3 is provided in the middle of the housing 1. A rotating shaft 4 is rotatably mounted inside the mounting groove 3. The recognition lens 2 is mounted on the rotating shaft 4. Mounting rings 5 ​​are rotatably connected to the inner walls of the left and right sides of the mounting groove 3. A side plate 6 is fixedly connected to the front of the mounting ring 5. A protective plate 7 is fixedly connected to the front of the side plate 6. The protective plate 7 is used to seal the mounting groove 3. Electric push rods 8 are fixedly connected to the inside of the left and right sides of the mounting groove 3. A rack 9 is fixedly connected to the telescopic end of the electric push rod 8. The rack 9 is engaged with the mounting ring 5.

[0025] like Figure 1As shown: In this embodiment, a control button 101 is installed on the upper surface of the housing 1. The control button 101 and the electric push rod 8 are both electrically connected to the controller inside the recognition lens 2. In this way, the extension and retraction of the electric push rod 8 can be controlled by the control button 101, thereby protecting the recognition lens 2 through the protective plate 7.

[0026] like Figure 1 and Figure 2 As shown: In this embodiment, a base 102 is fixedly connected to the lower surface of the outer shell 1, and a mounting plate 103 is fixedly connected to the lower surface of the base 102. The mounting plate 103 can be connected to an external connector, thereby facilitating the fixing of the recognition lens 2.

[0027] like Figure 2 and Figure 4 As shown: In this embodiment, the outer surface of the mounting ring 5 is provided with a toothed groove. The mounting ring 5 is coaxially arranged with the rotating shaft 4. The inner diameter of the mounting ring 5 is larger than that of the rotating shaft 4. After the electric push rod 8 drives the rack 9 to extend or retract, the rack 9 can drive the mounting ring 5, the side plate 6 and the protective plate 7 to rotate until the protective plate 7 rotates around the mounting ring 5 to the upper side, or seals the mounting groove 3.

[0028] like Figure 2 and Figure 4 As shown: In this embodiment, the inner top wall of the mounting groove 3 and the protective plate 7 are both arc-shaped structures. The inner bottom wall of the mounting groove 3 is provided with a sealing groove 10. The side plate 6 is in contact with the inner wall of the mounting groove 3. The inner top wall of the mounting groove 3 is fixedly connected with a first sealing gasket 11, and the inner wall of the sealing groove 10 is fixedly connected with a second sealing gasket 12. When the electric push rod 8 drives the rack 9 to retract, the rack 9 can drive the mounting ring 5, the side plate 6 and the protective plate 7 to rotate. Since the protective plate 7 is arc-shaped, it can be inserted into the sealing groove 10 at the bottom of the mounting groove 3, thereby sealing the mounting groove 3 through the protective plate 7, and improving the sealing performance through the first sealing gasket 11 and the second sealing gasket 12, thus better preventing dust from entering.

[0029] like Figure 1 and Figure 3 As shown: In this embodiment, a motor 13 is fixedly connected to the inside of the right side of the outer casing 1. A worm gear 14 is fixedly connected to the output end of the motor 13. A rotating shaft 4 is located inside the outer casing 1 and is fixedly connected to a worm wheel 15. The worm gear 14 and the worm wheel 15 are meshed together. When the recognition lens 2 is exposed in the mounting slot 3, the motor 13 and the worm gear 14 can be started to rotate. During the rotation, the worm gear 14 cooperates with the worm wheel 15 to drive the rotating shaft 4 and the recognition lens 2 to rotate up and down, thereby better identifying and tracking the explosive block.

[0030] Working principle: By installing the machine vision recognition lens 2 inside the housing 1, when in use, pressing the control button 101 activates the internal controller to activate the electric push rod 8, which extends the rack 9. During the extension process, the rack 9 rotates the mounting ring 5, side plate 6, and protective plate 7 until the protective plate 7 rotates around the mounting ring 5 to the upper side. At this time, the recognition lens 2 is exposed in the mounting groove 3, enabling it to identify and track explosive blocks. When not in use, pressing the control button 101 activates the internal controller to activate the electric push rod 8, which retracts the rack 9. During the retraction process, the rack 9 rotates the mounting ring 5, side plate 6, and protective plate 7. Since the protective plate 7 has an arc-shaped structure, it can be inserted into the sealing groove 10 at the bottom of the mounting groove 3, thereby sealing the mounting groove 3 and protecting the internal recognition lens 2. This not only prevents the recognition lens 2 from being exposed to wind and sun but also prevents dust from entering, improving recognition accuracy and service life.

[0031] All technical features in this embodiment can be freely combined according to actual needs.

[0032] The above embodiments are preferred implementations of this utility model. In addition, this utility model can also be implemented in other ways. Any obvious substitutions without departing from the concept of this technical solution are within the protection scope of this utility model.

Claims

1. A tracking device for machine vision-based blast fragmentation recognition, the device comprising a housing (1) and a recognition lens (2), characterized in that: The outer casing (1) has a mounting groove (3) in the middle. A rotating shaft (4) is rotatably installed inside the mounting groove (3). The identification lens (2) is installed on the rotating shaft (4). Mounting rings (5) are rotatably connected to the inner walls of the left and right sides of the mounting groove (3). A side plate (6) is fixedly connected to the front of the mounting ring (5). A protective plate (7) is fixedly connected to the front of the side plate (6). The protective plate (7) is used to seal the mounting groove (3). An electric push rod (8) is fixedly connected to the inner walls of the left and right sides of the mounting groove (3). A rack (9) is fixedly connected to the telescopic end of the electric push rod (8). The rack (9) meshes with the mounting ring (5).

2. The tracking device for machine vision based blast fragmentation recognition of claim 1, wherein, A control button (101) is installed on the upper surface of the housing (1). The control button (101) and the electric push rod (8) are both electrically connected to the controller inside the recognition lens (2).

3. The tracking device for explosive block size recognition based on machine vision according to claim 2, characterized in that, A base (102) is fixedly connected to the lower surface of the outer shell (1), and a mounting plate (103) is fixedly connected to the lower surface of the base (102).

4. The tracking device for explosive block size recognition based on machine vision according to claim 3, characterized in that, The outer surface of the mounting ring (5) is provided with toothed grooves, and the mounting ring (5) is coaxially arranged with the rotating shaft (4).

5. The tracking device for explosive block size recognition based on machine vision according to claim 4, characterized in that, The inner top wall of the mounting groove (3) and the protective plate (7) are both arc-shaped structures, and the inner bottom wall of the mounting groove (3) is provided with a sealing groove (10).

6. The tracking device for explosive block size recognition based on machine vision according to claim 5, characterized in that, The side plate (6) is in contact with the inner wall of the mounting groove (3), the inner top wall of the mounting groove (3) is fixedly connected with a first sealing gasket (11), and the inner wall of the sealing groove (10) is fixedly connected with a second sealing gasket (12).

7. The tracking device for explosive block size recognition based on machine vision according to claim 6, characterized in that, A motor (13) is fixedly connected to the inside of the right side of the outer casing (1). A worm (14) is fixedly connected to the output end of the motor (13). The rotating shaft (4) is located inside the outer casing (1) and is fixedly connected to a worm wheel (15). The worm (14) and the worm wheel (15) are meshed together.

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